Muhammad Abdul-mageed
Canada Research Chair at The University of British Columbia
Vancouver, British Columbia, United States
Summary
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Senior🎓
Top SchoolMuhammad Abdul-mageed is a Canada Research Chair and NLP researcher with a decade of experience building deep-learning systems for language, multimodal, and speech applications. Based in Vancouver and holding advanced degrees in computational linguistics and web mining, he has led research at UBC while serving as a visiting scholar at Penn and Columbia, where he developed Arabic sentiment analysis, morpho-syntactic taggers, and crowd-annotation protocols. His work bridges foundational LLM and generative-AI research with applied social media mining, reflecting a rare combination of computational semantics, pragmatics, and large-scale annotation management. He is equally at home training graduate courses and collaborating across institutions, and his background signals deep expertise in cross-lingual and Arabic NLP that informs modern multimodal and speech-driven models.
10 years of coding experience
1 year of employment as a software developer
MA in Computational Linguistics (Natural Language Processing), Natural Language Processing & Web Mining, 3.9, MA in Computational Linguistics (Natural Language Processing), Natural Language Processing & Web Mining, 3.9 at Indiana University BloomingtonLSA Summer School, Natural Language Processing, 4.0, LSA Summer School, Natural Language Processing, 4.0 at University of Colorado at Boulder
Arabic, English, French
Github Skills (6)
dialect8
arabic8
machine-learning4
deep-learning4
python4
tensorflow3
Programming languages (3)
Github contributions (5)
UBC-NLP/aoc_id
Jun 2018 - Mar 2019
Arabic Dialect Identification on AOC data.
Contributions:11 commits, 3 pushes in 8 months
dialectaocarabicdialect-identificationidentification
UBC-NLP/itrustai-tutorials
Aug 2021 - Feb 2022
Contributions:12 commits, 12 pushes in 5 months
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